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Paper Citation Record · LEDGER

ConStyX: Content Style Augmentation for Generalizable Medical Image Segmentation

As of 19 August 2026, this Paper Citation Record lists 26 of 26 outbound references and 0 inbound Pith citation observations for arXiv:2506.10675.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2506.10675 v1

Coverage vector

measured 26 of 26 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T04:23:14.108861Z

measured 26 of 26 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

26 of 26 outbound references displayed

  • verified exact0
  • verified fuzzy17
  • unresolved8
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 6b73ae3b-392b-4a69-8fe9-9ee91c0b592d · outbound

This paper cites Artificial intelligence review 54, 137–178 (2021).

ConStyX: Content Style Augmentation for Generalizable Medical Image Segmentation Artificial intelligence review 54, 137–178 (2021)

Reference 1

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 9f407711-962e-4500-92be-4793fad87266 · outbound

This paper cites In: International Conference on Medical Image Computing and Computer-Assisted Intervention.

ConStyX: Content Style Augmentation for Generalizable Medical Image Segmentation In: International Conference on Medical Image Computing and Computer-Assisted Intervention

Reference 2

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unresolved
no resolver link, observed 2026-08-07T04:23:12.578411Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 5889ab65-e62b-4066-abc5-4491e2ce97e8 · outbound

This paper cites In: International Conference on Medical Image Computing and Computer- Assisted Intervention.

ConStyX: Content Style Augmentation for Generalizable Medical Image Segmentation In: International Conference on Medical Image Computing and Computer- Assisted Intervention

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:23:14.598256Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 2cbb9f94-cd53-428b-92dd-9c307fa9b00b · outbound

This paper cites In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition.

ConStyX: Content Style Augmentation for Generalizable Medical Image Segmentation In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:23:14.583706Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 12e438ae-19a8-4bda-8975-a11cac907fdb · outbound

This paper cites IEEE Transactions on Biomedical Engineering69(3), 1173–1185 (2021).

ConStyX: Content Style Augmentation for Generalizable Medical Image Segmentation IEEE Transactions on Biomedical Engineering69(3), 1173–1185 (2021)

Reference 5

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unresolved
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 4a52886c-4706-4a02-afa0-4de0c4351c43 · outbound

This paper cites an unresolved cited work.

ConStyX: Content Style Augmentation for Generalizable Medical Image Segmentation Unresolved cited work

Reference 6

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unresolved
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation d6a0f19e-cdd0-44a4-85c1-230d0652a67d · outbound

This paper cites In: International Conference on Medical Image Computing and Computer-Assisted Intervention.

ConStyX: Content Style Augmentation for Generalizable Medical Image Segmentation In: International Conference on Medical Image Computing and Computer-Assisted Intervention

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:23:14.548567Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 904bc72c-a97f-4dc5-8387-01964e394524 · outbound

This paper cites In: European Conference on Computer Vision.

ConStyX: Content Style Augmentation for Generalizable Medical Image Segmentation In: European Conference on Computer Vision

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:23:14.533668Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 6bd48c38-f94f-481c-84fa-ee5b35dc9047 · outbound

This paper cites In: Journal of Physics: Conference Series.

ConStyX: Content Style Augmentation for Generalizable Medical Image Segmentation In: Journal of Physics: Conference Series

Reference 9

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation cb0b0e1e-438e-4e3d-8ddf-def5107a75ef · outbound

This paper cites Uncertainty Modeling for Out-of-Distribution Generalization.

ConStyX: Content Style Augmentation for Generalizable Medical Image Segmentation Uncertainty Modeling for Out-of-Distribution Generalization

Reference 10

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unresolved
no resolver link, observed 2026-08-07T04:23:13.493302Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 3f307d2c-bdec-4fed-8bad-cac8fb0bdcc1 · outbound

This paper cites Medical Im- age Analysis p.

ConStyX: Content Style Augmentation for Generalizable Medical Image Segmentation Medical Im- age Analysis p

Reference 11

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unresolved
no resolver link, observed 2026-08-07T04:23:13.599623Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation f5ac0072-434f-4376-902f-bc20d39fb082 · outbound

This paper cites Advances in neural information processing sys- tems 32 (2019).

ConStyX: Content Style Augmentation for Generalizable Medical Image Segmentation Advances in neural information processing sys- tems 32 (2019)

Reference 12

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unresolved
no resolver link, observed 2026-08-07T04:23:13.747284Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 6fbdfdd2-cb27-4811-9c17-d18051a04aee · outbound

This paper cites In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition.

ConStyX: Content Style Augmentation for Generalizable Medical Image Segmentation In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:23:14.494823Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 727b8160-c7d1-44a5-9d20-4301451d5c8c · outbound

This paper cites In: Medical image computing and computer-assisted intervention–MICCAI 2015: 18th international conference, Munich, Germany, Oc- tober 5-9, 2015, proceedings, part III 18.

ConStyX: Content Style Augmentation for Generalizable Medical Image Segmentation In: Medical image computing and computer-assisted intervention–MICCAI 2015: 18th international conference, Munich, Germany, Oc- tober 5-9, 2015, proceedings, part III 18

Reference 14

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unresolved
no resolver link, observed 2026-08-07T04:23:14.060540Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation e3e17291-b24f-4939-8b09-345080294d3d · outbound

This paper cites In: 2014 IEEE 11th International Symposium on Biomedical Imaging (ISBI).

ConStyX: Content Style Augmentation for Generalizable Medical Image Segmentation In: 2014 IEEE 11th International Symposium on Biomedical Imaging (ISBI)

Reference 15

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metadata mismatch
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation f876cd6f-ef88-42f9-b0ec-64afb6e4981f · outbound

This paper cites In: Proceedings of the IEEE conference on computer vision and pattern recognition.

ConStyX: Content Style Augmentation for Generalizable Medical Image Segmentation In: Proceedings of the IEEE conference on computer vision and pattern recognition

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:23:14.469563Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 53e364ac-5a3f-4e38-a668-efc855fe2e87 · outbound

This paper cites IEEE transactions on knowledge and data engineering35(8), 8052–8072 (2022).

ConStyX: Content Style Augmentation for Generalizable Medical Image Segmentation IEEE transactions on knowledge and data engineering35(8), 8052–8072 (2022)

Reference 17

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 8e0a58d7-bceb-49ce-a25d-bc2c1a9b0e9c · outbound

This paper cites IEEE Transactions on Pattern Analysis and Machine Intelligence44(7), 3733–3748 (2021).

ConStyX: Content Style Augmentation for Generalizable Medical Image Segmentation IEEE Transactions on Pattern Analysis and Machine Intelligence44(7), 3733–3748 (2021)

Reference 18

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation a66e0145-db29-4e08-8001-cc5e67b6316a · outbound

This paper cites Medical Image Analysis 69, 101985 (2021).

ConStyX: Content Style Augmentation for Generalizable Medical Image Segmentation Medical Image Analysis 69, 101985 (2021)

Reference 19

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 3bf2dca6-f8b7-4b1a-a304-1fca99f8ed5c · outbound

This paper cites Robust and Generalizable Visual Representation Learning via Random Convolutions.

ConStyX: Content Style Augmentation for Generalizable Medical Image Segmentation Robust and Generalizable Visual Representation Learning via Random Convolutions

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-07T04:23:14.084984Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 1a9f07f7-ffc3-4685-8472-284fd9f2abca · outbound

This paper cites In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition.

ConStyX: Content Style Augmentation for Generalizable Medical Image Segmentation In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:23:14.409951Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 5cb15da6-b937-4261-8e41-6da8d77ff07c · outbound

This paper cites In: Proceedings of the 2010 Annual International Conference of the IEEE Engineering in Medicine and Biology.

ConStyX: Content Style Augmentation for Generalizable Medical Image Segmentation In: Proceedings of the 2010 Annual International Conference of the IEEE Engineering in Medicine and Biology

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:23:14.393098Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 7e34e201-3371-4288-9780-f0c7ce276ad0 · outbound

This paper cites In: Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision.

ConStyX: Content Style Augmentation for Generalizable Medical Image Segmentation In: Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:23:14.377694Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation dcf4f225-001a-4da6-aa20-0b00427fc945 · outbound

This paper cites In: International Conference on Medical Image Computing and Computer-Assisted Intervention.

ConStyX: Content Style Augmentation for Generalizable Medical Image Segmentation In: International Conference on Medical Image Computing and Computer-Assisted Intervention

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:23:14.362541Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 447e53ed-2478-4074-9477-cf4515555bda · outbound

This paper cites IEEE Transactions on Pattern Analysis and Machine Intelligence45(4), 4396–4415 (2022).

ConStyX: Content Style Augmentation for Generalizable Medical Image Segmentation IEEE Transactions on Pattern Analysis and Machine Intelligence45(4), 4396–4415 (2022)

Reference 25

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verified fuzzy
raw_fallback, observed 2026-08-07T04:23:14.346053Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T04:23:14.104882Z digest=sha256:908231e5f617ec196a6dd9b5d339b680110566571ccd8bcaad5f4eaae6d00d2e

Observation 8e5ca55a-44fb-48ea-9b79-daea7bbc372c · outbound

This paper cites In: ICLR (2021).

ConStyX: Content Style Augmentation for Generalizable Medical Image Segmentation In: ICLR (2021)

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:23:14.329785Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Pith citing papers

No inbound Pith citation observations are available.